How to Use the JSON-LD SEO Compiler MCP in Cursor

Q: Does the JSON-LD SEO Compiler work with Cursor Agent mode?

Yes, the agent can invoke the buildschema tool automatically when you ask it to write or fix structured data. It will generate the correct JSON-LD and place it right in your files.

Write error-free structured data while you code. Let Cursor compile perfect JSON-LD blocks directly into your files.

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Connect JSON-LD SEO Compiler MCP to Cursor

Create your Vinkius account to connect JSON-LD SEO Compiler to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup JSON-LD SEO Compiler with Cursor

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Generate correct schemas in Cursor Agent mode

Writing structured data by hand is tedious and prone to syntax errors. When you use Agent mode, your editor can call the `build_schema` tool to generate and insert compliant blocks directly into your active file. The MCP Server ensures that every property matches Google requirements. Your agent gets the exact JSON-LD script block back, meaning it never writes hallucinated schema tags into your codebase.

Automate technical SEO inside your editor

Stop leaving your editor to run schema validation tests. This tool compiles standard-compliant blocks on the fly, so you can focus on building your application. By calling `build_schema` with raw metadata, the engine automatically injects the necessary context. You get clean, ready-to-use script tags instantly inserted into your HTML or React components.

Speed up your local frontend dev loops

Frontend developers often waste hours troubleshooting rich result errors in Google Search Console. Integrating this MCP tool puts schema compilation right where you write code, cutting down debugging time. Since the server runs as a background process, your agent handles schema generation in milliseconds. The output is guaranteed to pass official validation tests on the first try.

Setup guide

Set up JSON-LD SEO Compiler MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the JSON-LD SEO Compiler MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent JSON-LD SEO Compiler transactions." If the MCP tools are loaded correctly, Cursor will call the JSON-LD SEO Compiler tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "json-ld-seo-compiler-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about JSON-LD SEO Compiler MCP in Cursor

Yes, the agent can invoke the `build_schema` tool automatically when you ask it to write or fix structured data. It will generate the correct JSON-LD and place it right in your files.

You can set it up globally or per project by adding the MCP config to your mcp.json file. Once added, the agent instantly gains the ability to compile schemas.

No, the MCP Server is extremely fast and lightweight. It runs locally as a subprocess, ensuring your coding sessions remain snappy and uninterrupted.

The compilation tool enforces strict validation based on the Schema.org spec. If the agent inputs incorrect properties, the tool rejects them and guides the agent to output the correct structure.

Your SEO metadata and schema properties never leave your local machine. The server processes all compilation inputs locally within your editor sandbox, keeping your data confidential.

Use it with your favorite AI tools

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